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Dive Into Deep Learning | Aston Zhang (u. a.) | Taschenbuch | Englisch | 2023 | Cambridge University Press | EAN 9781009389433 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 126725655
Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required―every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice.
About the Authors:
Aston Zhang is Senior Scientist at Amazon Web Services.
Zachary C. Lipton is Assistant Professor of Machine Learning and Operations Research at Carnegie Mellon University.
Mu Li is Senior Principal Scientist at Amazon Web Services.
Alexander J. Smola is VP/Distinguished Scientist for Machine Learning at Amazon Web Services.
Title: Dive Into Deep Learning
Publisher: Cambridge University Press
Publication Date: 2023
Binding: Taschenbuch
Condition: Neu
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Condition: New. An approachable text combining the depth and quality of a textbook with the interactive multi-framework code of a hands-on tutorial.Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such d. Seller Inventory # 828086581
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Taschenbuch. Condition: Neu. Neuware - Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required-every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. Seller Inventory # 9781009389433